---
id: "framework-5-ways-ai-collaboration"
type: "framework"
source_timestamps: ["§ 5 Ways Leaders Can Set the Stage for Successful Human/AI Collaboration"]
tags: ["leadership", "implementation", "organizational-design"]
related: ["concept-ai-augmentation-strategy", "claim-input-metrics-punish-efficiency", "concept-humane-imperative", "claim-mid-managers-key-roi", "action-introduce-innovation-grants", "concept-curiosity-hacks", "entity-amy-edmondson"]
steps: ["Develop your AI augmentation strategy: define how employees will add new value after AI automates baseline tasks.", "Ensure performance evaluation focuses on output rather than input: stop measuring hours/effort and reward results to prevent clandestine AI use.", "\\\"Help your workforce harness skills AI is unlikely to master: focus on EQ", "empathy", "curiosity", "and the ability to critically vet AI outputs.\\\"", "Invest in mid-level managers: equip the translators of strategy-to-execution with the technical and soft skills to guide teams.", "Promote AI-related experimentation: foster a psychologically safe culture that tolerates risk and reframes failure as learning."]
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-36-team-collaborate-with-ai"
sourceUrl: "https://hbr.org/2024/11/set-your-team-up-to-collaborate-with-ai-successfully"
sourceTitle: "Set Your Team Up to Collaborate with AI Successfully"
---
# 5 Ways Leaders Can Set the Stage for Successful Human/AI Collaboration

The article's central artifact: a **five-pillar strategic framework** for organizational leaders and HR professionals to future-proof their workforce and successfully integrate generative AI. Each pillar maps to concepts, claims, and actionable tasks in this vault.

1. **Develop your AI augmentation strategy** — define how employees add new value after AI automates baseline tasks. → [[concept-ai-augmentation-strategy-d9]], task [[action-redefine-human-value]], claim [[claim-job-loss-to-humans]].
2. **Ensure performance evaluation focuses on output rather than input** — stop measuring hours/effort; reward results to prevent [[concept-clandestine-ai-use]]. → claim [[claim-input-metrics-punish-efficiency]], tasks [[action-reward-output-over-input]] and [[action-offer-ai-incentives]].
3. **Help your workforce harness skills AI is unlikely to master** — EQ, empathy, curiosity, critical vetting. → [[concept-humane-imperative]], [[concept-curiosity-hacks]], [[concept-intellectual-slow-food]], claim [[claim-expertise-redefined]], task [[action-induce-knowledge-gaps]].
4. **Invest in (the often neglected) mid-level managers** — equip the translators of strategy-to-execution. → claim [[claim-mid-managers-key-roi]], prerequisite [[prereq-peter-principle]], task [[action-invest-in-mid-managers]].
5. **Promote a healthy dose of AI-related experimentation** — build a psychologically safe, risk-tolerant culture that reframes failure as learning. → task [[action-introduce-innovation-grants]]; grounded in the psychological-safety scholarship of [[entity-amy-edmondson]].

**Enrichment context:** The five pillars collectively describe AI transformation as primarily **organizational and cultural**, not merely technological — consistent with IBM (operating-model redesign), Deloitte (sharing rewards, human capability), Stanford HAI (augmentation over substitution), and Edmondson (psychological safety enabling experimentation and learning from intelligent failure).